Abstract
Nowadays, the amount of data that is being generated by medical devices has exponentially increased. The aim of this paper is to develop an integrated health data management tool, that aggregates data from various sources, which are in various formats. With the aid of artificial intelligence (AI), this data will be processed and will help healthcare professionals be aware of the improvements that could make the healthcare system be more preventive, predictive and personalized. This paper introduces an integrated medical information management system – that intends to manage medical activities in hospitals, clinics and laboratories and describes its development and future directions of improvement. Furthermore, it presents a smart analysis tool that can generate both statistical data, but also infer additional information from the medical records based on natural language processing (NLP), image processing and machine learning. The novelty of the system is that it gives an overview of the patients’ medical record, statistical analysis, examinations results and interpretations. Furthermore, the system is trying to predict the evolution of a disease, based on previous medical records.